Results 21 to 30 of about 345,506 (334)

Time-efficient sparse analysis of histopathological Whole Slide Images [PDF]

open access: yes, 2010
International audienceHistopathological examination is a powerful method for the prognosis of critical diseases. But, despite significant advances in high-speed and high-resolution scanning devices or in virtual exploration capabilities, the clinical ...
Huang, Chao-Hui   +4 more
core   +3 more sources

Agreement in Histological Assessment of Mitotic Activity Between Microscopy and Digital Whole Slide Images Informs Conversion for Clinical Diagnosis

open access: yesAcademic Pathology, 2019
Validating digital pathology as substitute for conventional microscopy in diagnosis remains a priority to assure effectiveness. Intermodality concordance studies typically focus on achieving the same diagnosis by digital display of whole slide images and
Bih-Rong Wei PhD   +23 more
doaj   +1 more source

Whole Slide Images and Digital Media in Pathology Education, Testing, and Practice: The Oklahoma Experience

open access: yesAnalytical Cellular Pathology, 2012
Examination of glass slides is of paramount importance in pathology training. Until the introduction of digitized whole slide images that could be accessed through computer networks, the sharing of pathology slides was a major logistic issue in pathology
Kar-Ming Fung   +5 more
doaj   +1 more source

A framework for 3D vessel analysis using whole slide images of liver tissue sections [PDF]

open access: yes, 2016
Three-dimensional (3D) high resolution microscopic images have high potential for improving the understanding of both normal and disease processes where structural changes or spatial relationship of disease features are significant.
Kong, J   +7 more
core   +1 more source

Risk-aware survival time prediction from whole slide pathological images

open access: yesScientific Reports, 2022
Deep-learning-based survival prediction can assist doctors by providing additional information for diagnosis by estimating the risk or time of death. The former focuses on ranking deaths among patients based on the Cox model, whereas the latter directly ...
Zhixin Xu   +6 more
doaj   +1 more source

Fast ScanNet : fast and dense analysis of multi-gigapixel whole-slide images for cancer metastasis detection [PDF]

open access: yes, 2019
Lymph node metastasis is one of the most important indicators in breast cancer diagnosis, that is traditionally observed under the microscope by pathologists.
Chen, Hao   +5 more
core   +1 more source

Whole slide imaging for educational purposes

open access: yesJournal of Pathology Informatics, 2012
Digitized slides produced by whole slide image scanners can be easily shared over a network or by transferring image files to optical or other data storage devices. Navigation of digitized slides is interactive and intended to simulate viewing glass slides with a microscope (virtual microscopy).
Liron Pantanowitz   +3 more
openaire   +3 more sources

Privacy risks of whole-slide image sharing in digital pathology

open access: yesNature Communications, 2023
Access to large volumes of so-called whole-slide images—high-resolution scans of complete pathological slides—has become a cornerstone of the development of novel artificial intelligence methods in pathology for diagnostic use, education/training of ...
Petr Holub   +9 more
doaj   +1 more source

Color standardization in whole slide imaging using a color calibration slide

open access: yesJournal of Pathology Informatics, 2014
Background: Color consistency in histology images is still an issue in digital pathology. Different imaging systems reproduced the colors of a histological slide differently.
Pinky A Bautista   +2 more
doaj   +1 more source

Pan-cancer classifications of tumor histological images using deep learning [PDF]

open access: yes, 2020
Histopathological images are essential for the diagnosis of cancer type and selection of optimal treatment. However, the current clinical process of manual inspection of images is time consuming and prone to intra- and inter-observer variability. Here we
Caruana, Dennis   +8 more
core   +1 more source

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